Step 1: Load data from psych | Step 2: Fit a 2-factor exploratory model | Step 3: View and save the loading matrix | Step 4: Compute complexity and simplicity indices | Hofmann Index | Bentler’s Simplicity Index | Kaiser-Cerny (KC) Criterion | Factor Simplicity Index (FSI)

Example 1: Estimating Factor Complexity in an ESEM Solution | 1. Load the data | 2. Create a target matrix | 3. Specify the ESEM model | 4. Fit the ESEM model | 5. Compute factor complexity indices | Factor Simplicity Index (FSI) | Hofmann’s Index | Bentler’s Simplicity Index (BSI)

Step 1: Load data from psych | Step 2: Fit a 2-factor exploratory model | Step 3: View and save the loading matrix | Step 4: Compute complexity and simplicity indices | Hofmann Index | Bentler’s Simplicity Index | Kaiser-Cerny (KC) Criterion | Factor Simplicity Index (FSI)

Example 1: Estimating Factor Complexity in an ESEM Solution | 1. Load the data | 2. Create a target matrix | 3. Specify the ESEM model | 4. Fit the ESEM model | 5. Compute factor complexity indices | Factor Simplicity Index (FSI) | Hofmann’s Index | Bentler’s Simplicity Index (BSI)